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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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experimental data to validate and refine system performance. Collaborate with mechanical and multidisciplinary teams to support system integration and prototype development. Develop and optimise hardware
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implementation methodologies suitable for industry adoption. Lead the scale-up of laboratory processes (e.g. aqueous carbonation) to prototype and pilot systems, including system design, optimisation, and
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. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
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appropriate About you: a PhD in psychology, psychiatry, mental health, public health, or a related discipline demonstrated experience conducting original research and scholarly activities in youth mental health
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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specifications, performance frameworks, and implementation methodologies suitable for industry adoption. Lead the scale-up of laboratory processes (e.g. aqueous carbonation) to prototype and pilot systems
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with industry partners to deliver translational, impact-driven research. This role supports applied food processing research projects with strong industry relevance, focusing on product development
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constructs (assembly or delivery), cell culture, or techniques to study chromosome behaviour (e.g., NGS, live-cell imaging, mitotic spreads, or FISH). Please highlight any relevant experience in your cover